The aim of this survey was to collect feedback about existing training programmes in statistical analysis for postgraduate researchers at the University of Edinburgh, as well as respondents' preferred methods for training, and their requirements for new courses. The survey was circulated via e-mail to research staff and postgraduate researchers across three colleges of the University of Edinburgh: the College of Arts, Humanities and Social Sciences; the College of Science and Engineering; and the College of Medicine and Veterinary Medicine. The survey was conducted on-line using the Bristol Online Survey tool, March through July 2017. 90 responses were received. The Scoping Statistical Analysis Support project, funded by Information Services Innovation Fund, aims to increase visibility and raise the profile of the Research Data Service by: understanding how statistical analysis support is conducted across University of Edinburgh Schools; scoping existing support mechanisms and models for students, researchers and teachers; identifying services and support that would satisfy existing or future demand.

In 2023, when corporations and educational institutions based in the United States were asked to report on the training delivery method of their company, the most popular training delivery method overall was online or computer-based methods. Midsize companies, however, preferred blending learning - a combination of all training delivery methods mentioned in the survey.

Provide statistics on the results of environmental education workshops held each quarter.

This statistic shows the share of organizations by formal training methods given to managers in 2019. During the survey, 18 percent of the respondents stated that they train their managers using in-person training sessions.

As of 2023, customer data was the leading source of information used to train artificial intelligence (AI) models in South Korea, with nearly 70 percent of surveyed companies answering that way. About 62 percent responded to use existing data within the company when training their AI model.

Numerous studies demonstrating that statistical errors are common in basic science publications have led to calls to improve statistical training for basic scientists. In this article, we sought to evaluate statistical requirements for PhD training and to identify opportunities for improving biostatistics education in the basic sciences. We provide recommendations for improving statistics training for basic biomedical scientists, including: 1. Encouraging departments to require statistics training, 2. Tailoring coursework to the students’ fields of research, and 3. Developing tools and strategies to promote education and dissemination of statistical knowledge. We also provide a list of statistical considerations that should be addressed in statistics education for basic scientists.

By conducting a statistics of the number of service users for each season, provide data on vocational training services in the Kaohsiung and Linquan districts (human resources training courses, venue rental, recreational activities).

Summary of the generalized linear geostatistical model distributions implemented in MBGapp: The conditional distribution of Yi given the random effects S(xi) and Zi, including its expectation, variance function and link function.

The statistical information of the training and testing data set.

The Remote Sales Training Tool market is rapidly evolving, driven by the increasing need for organizations to adapt their sales training methodologies in an increasingly digital-driven world. As companies pivot to remote work environments, these tools have become essential in enhancing the skills of sales teams acro

Students and Courses and Apprentices and Trainees: These statistics cover administrative data sets on student enrolments and qualifications attained with approximately 2 million students enrolling on vocation education and training in Australia each year, 400,000 graduates each year, and around 400,000 people in training as part of an apprenticeship or traineeships. Demographic information on students as well as the qualification they are training in and where the training took place are included. Courses are classified by intended occupation on completion, and field of study. Student Outcomes Survey: In addition a graduate destination survey is run capturing information on the quality of training, occupations before and after training, salary, and further education. Under data tab each collection appears and can be selected individually for information excel files and publications, under data data are three resources, Vocstats datacubes, VET Students by Industry, VET Graduates outcomes, salaries and jobs. http://www.ncver.edu.au For an overview of the statistics please see the following publication https://www.ncver.edu.au/publications/publications/all-publications/statistical-standard-software/avetmiss-data-element-definitions-edition-2.2# Datasets to be attributed to National Centre for Vocational Education Research (NCVER). https://www.ncver.edu.au/ Register for VOCSTATS by visiting the website (http://www.ncver.edu.au/wps/portal/vetdataportal/data/menu/vocstats)

In 2023, the number of participants in high impact/intensity training in the United States decreased marginally to approximately 21.8 million. This continued the downturn experienced during the previous two years, which came after participation peaked at 22.49 million in 2020.

A 2024 survey of end users and IT security professionals worldwide found that computer-based security awareness training was the most popular among the respondents. Additionally, around 37 percent attended in-person cybersecurity trainings, while another 34 percent of respondents mentioned having taken part in virtual, instructor-led trainings.

Hodgkinson P., Williams M.J. 1985. Fisheries statistics training course: lecture notes. Noumea, New Caledonia: South Pacific Commission. ix, 105 p.

This is a dataset used for the online stats training website (https://www.rensvandeschoot.com/tutorials/) and is based on the data used by van de Schoot, van der Velden, Boom, and Brugman (2010).

The dataset is based on a study that investigates an association between popularity status and antisocial behavior from at-risk adolescents (n = 1491), where gender and ethnic background are moderators under the association. The study distinguished subgroups within the popular status group in terms of overt and covert antisocial behavior.For more information on the sample, instruments, methodology, and research context, we refer the interested readers to van de Schoot, van der Velden, Boom, and Brugman (2010).

Variable name Description

Respnr = Respondents’ number

Dutch = Respondents’ ethnic background (0 = Dutch origin, 1 = non-Dutch origin)

gender = Respondents’ gender (0 = boys, 1 = girls)

sd = Adolescents’ socially desirable answering patterns

covert = Covert antisocial behavior

overt = Overt antisocial behavior

Employees receiving job-related training, by sex, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.

Monthly statistics for pages viewed by visitors to the Queensland Government website—Education and training franchise. Source: Google Analytics